The Founder’s Guide:

How to Install the Python Environment for AI and Machine Learning on Mac

The condensed tutorial with copy and paste code and screenshots

“The expanded version of this article uses concise explanations to help you learn what’s happening 💡”

Open Terminal:

  1. Press “Command ⌘ + Spacebar”
  2. Enter “Terminal”
  3. Press “Return”

Open the Home Directory:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
cd $HOME/desktop

Set the Default Version for the Computer:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
Python 3.5:
pyenv global 3.5.4
Python 3.6:
pyenv global 3.6.8
Python 3.7:
pyenv global 3.7.9
Python 3.8:
pyenv global 3.8.6
Python 3.9:
pyenv global 3.9.0

Create the Virtual Environment:

  1. Find the Python version from below these instructions
  2. Copy the provided command
  3. Paste the command into Terminal
  4. Press “Return”
Python 3.5:
python -m venv venv35
Python 3.6:
python -m venv venv36
Python 3.7:
python -m venv venv37
Python 3.8:
python -m venv venv38
Python 3.9:
python -m venv venv39

Activate the Virtual Environment:

  1. Find the Python version from below these instructions
  2. Copy the provided command
  3. Paste the command into Terminal
  4. Press “Return”
Python 3.5:
source venv35/bin/activate
Python 3.6:
source venv36/bin/activate
Python 3.7:
source venv37/bin/activate
Python 3.8:
source venv38/bin/activate
Python 3.9:
source venv39/bin/activate

Install NumPy:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install numpy

Install Pandas:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install pandas

Install SciPy:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install scipy

Install Pillow:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install pillow

Install Matplotlib:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install matplotlib

Install OpenCV:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install opencv-python

Install Scikit-Learn:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install scikit-learn

Install Keras:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install keras

Install TensorFlow:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install tensorflow

Install PyTorch:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install torch torchvision torchaudio

Install MxNet:

  1. Copy the command from below these instructions
  2. Paste the command into Terminal
  3. Press “Return”
python -m pip install mxnet

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Next Steps:

This article is part of a mini-series that helps readers set up everything they need to start learning about artificial intelligence, machine learning, deep learning, and or data science. It includes articles that contain instructions with copy and paste code and screenshots to help readers get the outcome as soon as possible. It also includes articles that contain instructions with explanations and screenshots to help readers learn about what’s happening.

Linux:
01. Install and Manage Multiple Python Versions
02. Install the NVIDIA CUDA Driver, Toolkit, cuDNN, and TensorRT
03. Install the Jupyter Notebook Server
04. Install Virtual Environments in Jupyter Notebook
05. Install the Python Environment for AI and Machine Learning
WSL2:
01. Install Windows Subsystem for Linux 2
02. Install and Manage Multiple Python Versions
03. Install the NVIDIA CUDA Driver, Toolkit, cuDNN, and TensorRT
04. Install the Jupyter Notebook Server
05. Install Virtual Environments in Jupyter Notebook
06. Install the Python Environment for AI and Machine Learning
07. Install Ubuntu Desktop With a Graphical User Interface (Bonus)
Windows 10:
01. Install and Manage Multiple Python Versions
02. Install the NVIDIA CUDA Driver, Toolkit, cuDNN, and TensorRT
03. Install the Jupyter Notebook Server
04. Install Virtual Environments in Jupyter Notebook
05. Install the Python Environment for AI and Machine Learning
Mac:
01. Install and Manage Multiple Python Versions
02. Install the Jupyter Notebook Server
03. Install Virtual Environments in Jupyter Notebook
04. Install the Python Environment for AI and Machine Learning

From: Non-Technical | To: Technical | Writes: To Make It Easier For Everyone | Topics: #Setup #Basics #AI #MachineLearning #DeepLearning #Repositories

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